Kachi Anvesh | Machine Learning | Best Researcher Award

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Mr. Kachi Anvesh | Machine Learning | Best Researcher Award

Vardhaman College of Engineering | India

Mr. Kachi Anvesh is an Assistant Professor in the Department of Information Technology at Vardhaman College of Engineering, Hyderabad, with over 12 years of teaching and research experience. He is currently pursuing a Ph.D. in Computer Science at Visvesvaraya Technological University, Belagavi, and holds an M.Tech in Software Engineering with distinction and a B.Tech in Information Technology. His research focuses on medical image processing, deep learning, machine learning, and intelligent systems, with notable contributions including the detection of tessellated retinal disease, hypertensive retinopathy, glaucoma, cataract, and wheat head detection using advanced AI models. He has published in reputed journals and conferences such as JIKM, TSP-CMES, and Journal of Autonomous Intelligence, accumulating 13 citations and an h-index of 2. Mr. Anvesh has led innovative projects including bone age detection from X-ray images, facial expression recognition, emotion detection, foreign object debris detection, and predictive analytics systems, and holds certifications in AI and deep learning from IIT Ropar and other platforms, reflecting his strong contribution to engineering and AI research.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Anvesh, K., Prasad, S., Laxman, V. V. S. R., & Narayana, B. S. (2019). Automatic student analysis and placement prediction using advanced machine learning algorithms. International Journal of Innovative Technology and Exploring Engineering, 8, 9.

Suma, K., Sunitha, G., Karnati, R., Aruna, E. R., Anvesh, K., Kale, N., & Kishore, P. K. (2024). CETR: CenterNet-Vision transformer model for wheat head detection. Journal of Autonomous Intelligence, 7(3), 6.

Venkatesh, M., Dhanalakshmi, C., Adapa, A., Manzoor, M., & Anvesh, K. (2023). Criminal face detection system.

Anvesh, K., Srilatha, M., Raghunadha Reddy, T., Gopi Chand, M., & Jyothi, G. D. (2018). Improving student academic performance using an attribute selection algorithm. Proceedings of the First International Conference on Artificial Intelligence and Cognitive…, 3.

Rajendar, B., Bhavana, K., Divya, C., Swarna, M., & Anvesh, K. (2017). Evaluation of cardiac tonic activity of methanolic leaf extract of Moringa oleifera. International Journal of Pharma Sciences and Research, 8(6), 152–156.

Arshad Muhammad | Machine Learning | Best Researcher Award

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Mr. Arshad Muhammad | Machine Learning | Best Researcher Award

Mr. Arshad Muhammad, Chongqing University, China

A goal-oriented and multi-skilled IT professional with extensive experience in managing IT infrastructure, software implementations, system administration, and research. Currently pursuing a PhD at Chongqing University, China, Mr. Arshad has previously worked as a Research Assistant and Lecturer at various institutions, including Muhammad Nawaz Sharif University and Chenab College. He holds multiple degrees in Computer Science and Information Technology. His research interests include machine learning, intrusion detection systems, and medical imaging. He has published in top journals, contributing to fields such as IoMT security and healthcare networks. 🌍📊

Publication Profile

Orcid

Professional & Educator 💻📚

Mr. Arshad Muhammad is an experienced IT professional with a strong background in research, education, and system administration. Currently pursuing his PhD at Chongqing University, China, he has served as a Research Assistant, where he conducts literature reviews, designs research projects, and mentors undergraduates. He has also lectured at Muhammad Nawaz Sharif University and Chenab College, focusing on computer science and student development. Previously, as a Network Administrator at Al-Khair University, he managed IT infrastructure, system security, and student records. His expertise spans machine learning, data analysis, and education. 🌍🔐

Academic Journey 🎓💡

Mr. Arshad Muhammad’s academic journey reflects his dedication to computer science and information technology. He began with a Secondary School Certificate in Science from the Board of Intermediate and Secondary Education, Multan. He continued his studies, earning a Higher Secondary School Certificate in Science. He then pursued a Bachelor’s degree in Computer Science from Islamia University Bahawalpur, followed by a Master’s in Computer Science (16 years) and a Master of Science in Information Technology (18 years) from Government College University Faisalabad. Currently, he is pursuing a PhD at Chongqing University, China, in the field of computer science and technology. 🌐📚

Research Focus

Mr. Arshad Muhammad’s research primarily focuses on cybersecurity in healthcare networks and intrusion detection systems (IDS) for the Internet of Medical Things (IoMT) 🏥🔒. His work includes developing deep reinforcement learning-based IDS to secure IoMT healthcare networks, as seen in his article “A Deep Reinforcement Learning-Based Robust Intrusion Detection System for Securing IoMT Healthcare Networks” published in Frontiers in Medicine 🔐. He also explores anomaly detection using hybrid machine learning techniques, with a special emphasis on real-time human activity detection and smart systems like cattle management using IoT technologies 🐄📡. His contributions bridge machine learning, cybersecurity, and healthcare innovation. 🌐💡

Conclusion 🏆

Mr. Arshad Muhammad stands out as a candidate for the Research for Best Researcher Award due to his strong academic background, significant research contributions, impressive publication record, and dedication to teaching and mentorship. His interdisciplinary expertise in machine learning, IoT, and healthcare security aligns well with the evolving demands of research in these fields. Moreover, his proactive involvement in projects and mentoring roles further solidifies his position as an impactful and influential researcher.

Publication Top Notes

  • A Deep Reinforcement Learning-Based Robust Intrusion Detection System for Securing IoMT Healthcare Networks – Frontiers in Medicine (2025) 🧠🔒 | DOI: 10.3389/fmed.2025.1524286 📅

  • FOID: A Feature-Optimized Intrusion Detection System for Securing IoMT Healthcare Networks – 18th International Conference on Open Source Systems and Technologies (ICOSST) (2024) 📊💻 | DOI: 10.1109/icosst64562.2024.10871156 📅

  • RCLNet: An Effective Anomaly-Based Intrusion Detection System for Securing the Internet of Medical Things – Frontiers in Digital Health (2024) 🏥📡 | DOI: 10.3389/fdgth.2024.1467241 📅

  • An E-Tag Based Smart Cattle Management and Diagnosis System – IEEE Xplore: 2023 IEEE 3rd International Conference on Computer Systems (ICCS) (2023) 🐄📱 | 📅

  • Hybrid Machine Learning Techniques to Detect Real-Time Human Activity Using UCI Dataset – EAI Endorsed Transactions on Internet of Things (EAI.EU) (2021) 🧠📊 | 📅

Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

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Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award 

Dr Nafis Uddin Khan, SR University Warangal India, India

Dr. Nafis Uddin Khan is a distinguished academic and researcher at SR University in Warangal, India. His expertise spans a variety of fields, contributing significantly to both the academic community and industry advancements. Dr. Khan’s work is characterized by a strong focus on innovative solutions and sustainable practices, reflecting his commitment to addressing contemporary challenges through research and education. At SR University, he plays a pivotal role in mentoring students and leading research initiatives that aim to drive technological progress and societal impact.

Profile

Orcid

Education

       Bachelor of Engineering (B.E.) in Electronics and Telecommunication Engineering from Amravati University  Maharashtra, in 2003.

       Master of Technology (M.Tech.) in Software Systems from S.A.T.I. Vidisha under Rajiv Gandhi Technological University, Bhopal, in 2008.

        Doctor of Philosophy (Ph.D.) in Signal and Image Processing from the Atal Bihari Vajpayee – Indian Institute of Information Technology & Management, Gwalior

Professional experience

  1. Workshop Coordinator: Coordinated a two-day workshop titled “Synthesis of Wisdom: Crafting AI Tutor Assistants, Navigating Future-Ready Digital Libraries and Elevating Pedagogy in the Age of Skill Enhancement and AI Mastery” on February 02–03, 2024, at the School of CS & AI, SR University, Warangal, India.
  2. Faculty Development Program Coordinator: Coordinated “Utkarsh – Take Flight,” a two-day Faculty Development Program on Leadership and Excellence in Quality Education organized by Jaypee University of Information Technology, Solan (H.P.), on December 22–23, 2022.
  3. Chief Coordinator: Served as Chief Coordinator in a student outreach activity organized by the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan (H.P.), on December 20, 2022.
  4. Invited Session Chair: Served as an Invited Session Chair in the Congress on Intelligent Systems (CIS 2020), World Conference in virtual format, on September 05–06, 2020.
  5. Organizing Committee Member and Reviewer: Participated as an Organizing Committee Member and Reviewer in the Congress on Intelligent Systems (CIS 2020), World Conference in virtual format, on September 05–06, 2020.
  6. Convener: Organized a one-week online short-term course on “Recent Advances in Computational Intelligence for Signal Processing” (RACISP – 2020) at Jaypee University of Information Technology, Solan (H.P.), from August 10–15, 2020.
  7. Coordinator: Coordinated a five-day short-term course on “Recent Advances in Signal and Image Processing” (RASIP – 2019) at Jaypee University of Information Technology, Solan (H.P.), from June 24–28, 2019.
  8. Organizing Committee Member: Served in the organizing committee for the 5th IEEE International Conference on “Signal Processing, Computing and Control” (ICSPC 2019) organized by the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan (H.P.), from October 10–12, 2019.
  9. Invited Session Chair: Chaired an invited session in the 2019 IEEE International Conference on “Image Information Processing” (ICIIP 2019) organized by the Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan (H.P.), from November 15–17, 2019.
  10. Organizing Committee Member: Participated as an organizing committee member in the 4th IEEE International Conference on “Signal Processing, Computing and Control” (ICSPC 2017) at Jaypee University of Information Technology, Solan (H.P.), from September 21–23, 2017.
  11. Invited Session Chair: Served as an invited session chair at the 7th IEEE International Conference on “Computational Intelligence and Communication Networks” (CICN 2015) at Gyan Ganga Institute of Technology and Science, Jabalpur (M.P.), on December 12, 2015.
  12. National Advisory Committee Member: Served on the National Advisory Committee for the National Conference on Contemporary Computing organized by the Department of Computer Science and Information Technology, Chameli Devi Group of Institutions, Indore (M.P.), from October 21–22, 2016.

Research Focus

      Fuzzy Logic and Optimization: Utilizing fuzzy logic for applications in signal and image processing, including the development of fuzzy-based diffusion coefficient functions for selective noise smoothing.

      Medical Image Processing: Enhancing medical imaging techniques, such as de-speckling in ultrasound and X-ray images, and improving image de-noising using soft optimization techniques.

      Pattern Analysis in Machine Intelligence: Investigating pattern analysis and its applications within machine intelligence to improve the accuracy and efficiency of image processing algorithms.

Awards and Honors 

Zhidong CAO | Artificial Intelligence Award | Best Researcher Award

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Mr Zhidong CAO | Artificial Intelligence Award | Best Researcher Award

Mr Zhidong CAO, Institute of Automation, Chinese Academy of Sciences, China

Zhidong Cao 🎓 is a prominent Professor and Principal Investigator at the National Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences. He holds a Doctor of Science degree from the Institute of Geographic Sciences and Natural Resources Research, CAS. With over a decade of experience at CAS, Cao has contributed significantly to AI and automation research, leading over 20 national-level projects. His scholarly impact includes 120+ papers in prestigious journals and international conferences, along with authoring 3 books. Cao has been honored with multiple awards, highlighting his substantial contributions to Chinese scientific advancement.

Publication profile

Scopus

Education

Zhidong Cao 📚 pursued a rigorous academic journey that culminated in a Ph.D. from the Institute of Geographic Sciences and Natural Resources Research at the Chinese Academy of Sciences, completed from September 2005 to July 2008. Prior to his doctoral studies, he earned a Master’s degree from Changsha University of Science and Technology, spanning from September 2002 to July 2005. Cao’s educational foundation began with a Bachelor’s degree, also from Changsha University of Science and Technology, covering the period from September 1997 to July 2001. These academic milestones provided him with a comprehensive background for his subsequent influential research career in artificial intelligence and automation.

Experience